Electricity retail market evaluation based on fruit fly optimized fuzzy neural network model

doi:10.3969/j.issn.1009-1831.2019.01.007

Home > Archive>Volume 21, Issue 1, 2019 >27-31. DOI:10.3969/j.issn.1009-1831.2019.01.007

Electricity retail market evaluation based on fruit fly optimized fuzzy neural network model
DOI:
                        10.3969/j.issn.1009-1831.2019.01.007
                    
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Affiliation:(1. China Electric Power Research Institute, Beijing 100192, China; 2. North China Electric Power University,Beijing 102206, China; 3. Shanghai Power Grid Company, Shanghai 200122, China)
Clc Number:F407.61
Fund Project:This work is supported by National Natural Science Foundation of China（No. 71201056）; Science and Technology Project of State Grid Corporation（No. YDB17201600102）

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Abstract:

Evaluating the performance of electricity retail market scientifically has a significant impact on market players.First of all, index evaluation system is established. Secondly, fruit fly optimized fuzzy neural network comprehensive evaluation model is constructed to evaluate the performance of market quantitatively. Finally, the performance of the electricity retail market is analyzed through the result to provide appropriate decisions for market participants and regulators.

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李德智,张文文,嵇建飞.基于果蝇优化模糊神经网络模型的售电市场评估[J].电力需求侧管理英文版,2019,21(1):27-31.

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Received:January 04,2018
Revised:January 21,2018
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Online: February 01,2019
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